Eric Rebeiz received his B.S. with Summa Cum Laude Latin honors in Electrical Engineering from the University of Massachusetts Amherst in 2008. He then moved to Los Angeles to pursue his M.S degree at the University of Southern California. During his graduate career, Eric gained valuable industry experience as well by interning at Qualcomm where he worked on 3G EV-DO RevB cellular systems, and by working for a year at ITT Exelis as a systems engineer. In September 2010, he has started his PhD in Electrical Engineering at CORES Lab at University of California Los Angeles. His research interests include low power cyclostationary spectrum sensing and modulation classification in wideband channels for cognitive radios. He has defended his thesis on August 19, 2013, and his defense slides can be found here. He is currently a Senior Systems Engineer at Qualcomm Research working on next generation WiFi systems.

Education

• Ph.D., Electrical Engineering, University of California Los Angeles, CA, USA – Sept. 2010 – Sept. 2013
  • GPA: 4.0/4.0
• M.S., Electrical Engineering, University of Southern California, CA, USA – Dec. 2009
  • GPA: 4.0/4.0
• B.S., Electrical Engineering, University of Massachusetts Amherst, MA, USA – May. 2008
  • GPA: 3.8/4.0, Major GPA: 3.9/4.0

Journal Articles

• Ramesh Harjani, Danijela Cabric, Dejan Markovic, Brian M. Sadler, Rakesh K. Palani, Anindya Saha, Hundo Shin, Eric Rebeiz, Sina Basir-Kazeruni and Fang-Li Yuan​, Wideband Blind Signal Classification on a Battery Budget, in IEEE Communications Magazine, vol. 53, no. 10, pp. 173-181, Oct. 2015.
• E. Rebeiz, A. Shahed, M. Valkama, D. Cabric, Spectrum Sensing under RF Non-Linearities: Theoretical Analysis and Compensation Algorithm, in IEEE Transactions on Signal Processing, vol. 63, no. 8, pp. 1950-1964, Apr. 2015.
• E. Rebeiz, P. Urriza, D. Cabric, Optimizing Wideband Cyclostationary Spectrum Sensing under Receiver Impairments, in IEEE Transactions on Signal Processing, vol. 61, no. 15, pp. 3931-3943, Aug. 2013
• E. Rebeiz, F. Yuan, P. Urriza, D. Markovic, D. Cabric, Energy-Efficient Processor for Blind Signal Classification in Cognitive Radio Networks, IEEE Transactions on Circuits and Systems I, vol. 61, no. 2, pp. 587-599, Feb. 2014
• E. Rebeiz, V. Jain, D. Cohen, Y. C. Eldar, D. Cabric, Compressive Wideband Spectrum Sensing based on Cyclostationary Detection
• E. Rebeiz, G. Caire, and A.F. Molisch, Energy-Delay Tradeoff and Dynamic Sleep Switching for Bluetooth-Like Body-Area Sensor Networks, IEEE Transactions Communications, vol. 60, no. 9, pp. 2733-2746, Sept. 2012,
• P. Urriza, E. Rebeiz, P. Pawełczak, D. Cabric, Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions, IEEE Communications Letters, vol. 15, no. 5, pp. 476-478, May 2011
• P. Urriza, E. Rebeiz, D. Cabric, Multiple Antenna Cyclostationary Spectrum Sensing Based on the Cyclic Correlation Significance Test, IEEE Journal on Selected Areas in Communications: Cognitive Radio Series, vol. 31, no. 11, pp. 2185-2195, Nov. 2013
• P. Sofotasios, E. Rebeiz, L. Zhang, T. Tsiftsis, S. Freear, D. Cabric, Energy Detection-Based Spectrum Sensing over Generalized and Extreme Fading Channels, IEEE Transactions Vehicular Technology, vol. 62, no. 3, pp. 1031-1040, Mar. 2013
• P. Urriza, E. Rebeiz, D. Cabric, Optimal Discriminant Functions Based On Sampled Distribution Distance for Modulation Classification, IEEE Communications Letters, vol. 17, no. 10, pp. 1885-1888, Oct. 2013

Conference Proceedings

• E. Rebeiz and D. Cabric, How wideband receiver nonlinearities impact spectrum sensing, in IEEE GlobalSIP, Dec. 3-5, 2013, Austin, TX
• E. Rebeiz, A. Shahed, M. Valkama, and D. Cabric, Suppressing RF Front-End Nonlinearities in Wideband Spectrum Sensing, in Proc. IEEE Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), 8-10 Jul. 2013, Washington DC
• E. Rebeiz, P. Urriza, D. Cabric, Experimental Analysis of Cyclostationary Detectors Under Cyclic Frequency Offsets, in Proc. IEEE Asilomar Conference on Signals, Systems and Computers, 4-7 Nov. 2012, Pacific Grove, CA
• E. Rebeiz, V. Jain and D. Čabrić, Cyclostationary-Based Low Complexity Wideband Spectrum Sensing using Compressive Sampling, in Proc. IEEE International Conference on Communications, 10-15 Jun. 2012, Ottawa, Canada
• E. Rebeiz, D. Cabric, Blind Modulation Classification Based on Spectral Correlation and Its Robustness to Timing Mismatch, in Proc. IEEE Military Communications Conference, 7-10 Nov. 2011, Baltimore, MD, USA
• E. Rebeiz, D. Cabric, Low Complexity Feature-based Modulation Classifier and its Non-Asymptotic Analysis, in Proc. IEEE Global Communications Conference, 5-9 Dec. 2011, Houston, TX, USA
• P. Urriza, E. Rebeiz, D. Cabric, Eigenvalue-based Cyclostationary Spectrum Sensing Using Multiple Antennas, in Proc. IEEE Global Communications Conference, 3-7 Dec. 2012, Anahein, CA, USA
• P. Urriza, E. Rebeiz, D. Cabric, Hardware Implementation of Kuiper-based Modulation Level Classification, in Proc. IEEE Asilomar Conference on Signals, Systems and Computers, 6-9 Nov. 2011, Pacific Grove, CA, USA
• D. Cohen, E. Rebeiz, V. Jain, Y. Eldar, D. Cabric, Cyclostationary Feature Detection from Sub-Nyquist Samples, in Proc. IEEE Fourth International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 13-16 Dec. 2011, San Juan, Puerto Rico
• C-H. Liu, E. Rebeiz, P. Pawelczak, D. Cabric, Primary User Traffic Classification in Dynamic Spectrum Access Networks, in IEEE Globecom, Dec. 9-13, 2013, Atlanta, GA
• D. Cohen, E. Rebeiz, Y. Eldar, D. Cabric, Cyclic Spectrum Reconstruction and Cyclostationary Detection from Sub-Nyquist Samples, in IEEE SPAWC, Jun. 16-19 2013, Darmstadt, Germany
• D. Cohen, E. Rebeiz, Y. Eldar, D. Cabric, Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation, in IEEE CAMSAP, Dec. 15-18, 2013, Saint Martin

PhD Dissertation

• E. Rebeiz, Wideband Cyclostationary Spectrum Sensing and Modulation Classification

Academic Research Experience

Graduate Researcher at CORES Lab – University of California Los Angeles, Sept ’10 – Present

• Researching cyclostationary spectrum sensing and modulation classification in wideband channels
• Analyzing the impact of nonlinearities, and imperfect estimates of transmit parameters on cyclostationary spectrum sensing and feature-based modulation classifiers.
• Proposing low-complexity algorithms that are robust to the considered receiver impairments.

Graduate Researcher at WiDeS – Wireless Devices and Systems Group, University of Southern California, Aug ’09 – May ’10

• Studied optimal power-delay tradeoff for body-area sensor network based on a Bluetooth-like wireless protocol.
• Found analytical expressions for the minimum average energy for the transmission queue stability and studied the performance and operations of a dynamic power and rate scheduling algorithms.
• Considered an improvement in average power based on switching between connected and disconnected (sleeping) modes for impulsive arrival processes.

Undergraduate Thesis – University of Massachusetts Amherst, Aug ’07 – May ’08

• Studied Vehicular Ad-Hoc Networks and their applications to vehicle-to-vehicle (V2V) communications
• Implemented a traffic model with simplistic assumptions
• Modeled communication channel and designed physical layer of the communication system.
• Simulated enhancement in the highway capacity due to reduction of drivers’ reaction times.

Undergraduate Senior Design Project – University of Massachusetts Amherst, Aug ’07 – May ’08

• Designed a new musical instrument, Wireless Drumstricks, composed of two PCB board embedded in two drumsticks, each with two mounted accelerometers.
• Implemented a pattern recognition algorithm to recognize surfaces hit and assign a user-selected midi note to each of them.
• Created a GUI that enables the user to calibrate the device, choose the notes, and record hits.

Research Scholar at New Jersey Institute of Technology, May ’07 – Aug ’07

• Developed a statistical approach for location estimation in wireless networks.
• Used probabilistic models in order to find a user on a mapped campus based on the received signal strengths and access points’ availability. http://reu.njit.edu/ERebeiz.pdf

Academic Presentations and National / Continental Conferences

• E. Rebeiz, P. Urriza, D. Cabric, Experimental Analysis of Cyclostationary Detectors Under Cyclic Frequency Offsets, UCLA Annual Research Review, 2012
• E. Rebeiz, Danijela Cabric, Cyclostationary Feature Detection from Sub-Nyquist Samples, in Next-Generation Communications Session at the UCLA Annual Research Review, 2011
• P. Urriza, E. Rebeiz, Danijela Cabric, Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions, UCLA Annual Research Review, 2010
• E. Rebeiz, G. Caire, and A. F. Molisch, “Dynamic Power and Rate Control for Bluetooth-Like Body-Area Sensor Networks”, Mobile Health Summit, Washington, DC, Nov. 2010.
• G. Caire, A. F. Molisch, E. Rebeiz, and S. Sreekanta, Cognitive Medical Environment, Body Computing Conference, Los Angeles, CA, September 8th, 2009.

Industry Experience

Senior Systems Engineer, Qualcomm Research, October ’13 – Present

• Working on next generation WiFi systems

Member of the Technical Staff – Signal Processing Design and Development – The Aerospace Corporation, October ’12 – July ’13

• Co-PI (Primary Investigator) of R&D project researching cyclostationary-based detection and modulation classification under receiver impairments
• Developed a blind cumulant-based classification algorithm for DVB-S2 satellite systems. The task involved blind estimation of the symbol rate and carrier frequency, carrier tracking and locking, blind time synchronization, followed by symbol demodulation.
• Developed a novel optimization framework for minimizing the average acquisition time of GPS signals under unknown SNRs. Analyzed the tradeoffs between the minimum average acquisition and the average overhead incurred due to increasing the number of acquisition trials.

Member of the Technical Staff – The Aerospace Corporation, June ’11 – Oct’11

• Cognitive Anti-Jam Radio System: researched approaches for blind interference suppression using cyclostationary feature separation and cyclic Wiener filtering. Process included the blind estimation of the jammer’s cyclic frequencies that were used by frequency shifters followed by optimal periodically time-variant filters.
• Blind Signal Demodulation in Wideband Channels: proposed a hybrid receiver architecture that combines energy detection and cyclostationary feature detection in order to detect the presence of signals and estimating the signal’s parameters such as symbol rate, carrier frequency and modulation class, in a single step.
• Implemented some of the functionalities mentioned above on GNU radios for testing purposes with real-life signals.

Systems Engineer – ITT Exelis, Sept ’09 – Sept ’10

• Worked on the development and creation of a Land Coastal Radar (LCR) in a team of System, Hardware, and RF engineers. Worked on radar systems analysis and performance simulations.
  • Simulated the radar’s accuracy and resolution performances for both air/sea targets and jammers.
  • Automated process of extracting and analyzing signals at different stages of the receiver chain such as pulse compressed data, Doppler filtered data, envelope detected data.
  • Implemented NLFM pulse compression to enhance range resolution while reducing sidelobe levels.
  • Implemented a GUI to create STC curves (Sensitivity Time Control) using clutter data.

Systems Engineer – Qualcomm, May ’09 – Aug ’09

• Worked in collaboration with numerous Systems and RF engineers in a lab environment where I evaluated and analyzed the functionality and performance of CDMA EVDO RevB. The tests covered a wide variety of areas including CDMA system performance under various channel conditions. Worked on
  • Power imbalance among carriers and the resulting ACI (Adjacent Channel Interference)
  • Reverse link performance and power control mechanism
  • Soft handovers between cells with different number of carriers
  • Compared Matlab simulation results for headroom limitation and packets information against experimental data

Awards

• Qualcomm Qualstar Ruby Award, given for employees with exceptional individual performance who have far exceeded expectations and have been exemplary team players
• Summa Cum Laude – Graduated with Highest Latin Honors
• Senior Design Project award – SDP Course Coordinators Award
• Dean’s Honor List for academic achievement Fall 2004 – Fall 2009
• N. Boraski Scholarship – University of Massachusetts Amherst
• IEEE ComSoc ICC 2012 Student Travel Grant
• IEEE MILCOM 2011 Student Travel Grant

Miscellaneous

• Reviewer for IEEE Transactions on Signal Processing
• Reviewer for IEEE Journal on Selected Areas in Communications (JSAC)
• Reviewer for IEEE Transactions on Wireless Communications
• Reviewer for IEEE Wireless Communication Letters
• Reviewer for IEEE Communication Letters
• Reviewer for IEEE Transactions on Vehicular Technology
• Reviewer for EURASIP Journal on Wireless Communications and Networking
• IEEE DySPAN 2012 – Served on Posters Program Committee

Contact Information

• rebeiz@ee.ucla.edu